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Hi there, I am Lorena! 👋

I am PhD researcher working with geospatial technologies.

  • 🔎 I’m currently working as a researcher at the Risk, Hazard & Climate Lab and the EO-Analytics Lab of the Z_GIS department at the University of Salzburg
    • 🌍 My PhD research is focused on the use of big EO data and remote sensing methods to map and monitor geomorphological processes and landscape dynamcis.
  • 🚲 I also enjoy sustainable transport as a research topic and a way of life
  • 📊 I am interested in data visualization for scientific communication
  • 💻 I really like programming in R. My motto: I bet you can do that in R ❗
    • I co-authored a 📦 for spatial networks analysis, check it out!

  • 📦 Packages I use often for my research:


stars

  • Want to support fairer academic evaluation? Try ProAc by Fabio Crameri. Here is mine:

  • Want to know more? Check my CV!
  • Not on my CV, my hobbies! Hiking ⛰️ | Reading 📚 | Cycling 🚴
  • Find me at:

Twitter ResearchGate Google Scholar

Lorena Abad Crespo's Projects

binder icon binder

Template for RStudio on Binder / JupyterHub

bna-presentation icon bna-presentation

Presentation on Bicycle Network Analysis scoring of cities for the Cycling Potental hackathon

chirps-stars icon chirps-stars

Exploration of CHIRPS data using R and the stars package for handling NetCDF files

cubble icon cubble

A tidy structure for spatio-temporal vector data

demcoreg icon demcoreg

Utilities for DEM and point cloud co-registration

discuss icon discuss

a discussion repository: raise issues, or contribute!

earthflows_r icon earthflows_r

Earthflow detection based on terrain derivatives using an OBIA approach

elippss-project icon elippss-project

Documentation for the project "Monitoring the Renaturation process of the Aa river in Münster" for the Unmmanned Aerial Systems seminar for the Master in Geospatial Technologies.

foss4g icon foss4g

Slides for the R-Spatial panel presentation on Reproducible Spatial Data Visualization with R

ftw icon ftw

R package that aims to make the Fietstelweek data for 2015 and 2016 available and easy to use, explore, visualize and handle by R users.

gullies icon gullies

Gully detection through a Deep Learning Approach

mapart icon mapart

A (creative) project for designing some wall deco with omsplotr

ogh23 icon ogh23

Materials for the OGH 23 tutorial on S1 and S2 data handling with R and Python

sf icon sf

Simple Features for R

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